# Intro the Neural Nets, Featuring PyTorch

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-fa18-neural-nets").exists():
DATA_DIR /= "ucfai-core-fa18-neural-nets"
else:
# You'll need to download the data from Kaggle and place it in the data/
#   directory beside this notebook.
# The data should be here: https://kaggle.com/c/ucfai-core-fa18-neural-nets/data
DATA_DIR = Path("data")


## Other Meetings in this Series

#### Let Data Speak Using Regression & Plots

Neural Networks are all the rage, nowadays, but simpler models are always great places to start! We'll cover how to do Linear/Logistic Regression as well as preparing data for such a function to work.